Language Agent Tree Search

Language Agent Tree Search (LATS) is a framework which improves reasoning capabilities of language models by integrating them into a tree search algorithm. They adapt Monte Carlo Tree Search, which is a successful algorithm in Reinforcement Learning (RL).